Robert Hager, Preveal Technologies, Inc. Hassan Ghasemzadeh, ASU. The goal of this proposal is to develop an Electroencephalography (EEG) neurofeedback (NFB) prototype system consisting of a headset and machine learning algorithm coupled with music, that can be used in the home to improve working memory.
James Mastrianni, The University of Chicago. Josh Kim, Adiona Health. This project seeks to validate a novel machine learning technique that analyzes motion data from an accelerometer in an Apple Watch to identify the onset of an agitation episode in a person with ADRD.
Joseph Chung, Kinto. This project will apply sentiment analysis and large language models to text data from a variety of sources including messaging between coaches and caregivers as well as peer-to-peer support groups.